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Tzvia
MicrosoftJoined 8 years ago
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Azure Log Analytics Log Management using Azure Data Explorer
One common questions that we get from customers and partners is how to ingest data from Azure Log Analytics / Azure Sentinel to Azure Data Explorer from different reasons: joining data between different ADX clusters, longer retention period, heavy queries that aren't alight with LA limitations and etc. There are many good articles in the web, here is a step by step guide and code from Sentinel team at GitHub which generates code to export data from selected tables in LA, create ADX tables with the right structure and mapping at update policies to adapt LA data structure to fit with ADX supported formats. Azure Log Analytics Log Management using Azure Data Explorer by Sreedhar AndeAzure Data Explorer resources
Read Azure Data Explorer - Reimagine Telemetry Analytics to learn about the latest groundbreaking innovations, new features, and exciting collaborations. The event includes a keynote by Rohan Kumar, CVP, Azure Data and fascinating content by the product group team members, delivering sessions on various topics. Azure Data Explorer Online Event Recording Free online Courses: How to Start with Microsoft Azure Data Explorer Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer Microsoft Azure Data Explorer - Advanced KQL Cost Estimator: https://aka.ms/adx.costRe: Running Summarizing jobs on ADX
Amila_19 hey per your description it seems that you have couple of options 1. update policy - which provide an light ETL capabilities on your service for new ingested data 2. metalized view - expose an aggregation query over a source table. Materialized views always return an up-to-date result of the aggregation query (always fresh).Save your spot at the Azure Data Explorer online event!
Join this event to new features, announcements, and collaborations for Azure Data Explorer. Learn how to harness the growing volume of telemetry data to drive business success while keeping costs at bay with the super cost-efficient Azure Data Explorer service. October 14th 09:00-12:00 (2 rounds: Pacific Time and British Time) The first 2.5 hours will be prerecorded sessions and the last 30 minutes will be 6 online sessions in different topics (full agenda) 2 Surface Duos will be given to the first one that will answer all the questions correct in each round (British Time and Pacific Time) Learn more about this event: https://techcommunity.microsoft.com/t5/azure-data-explorer/save-your-spot-at-the-azure-data-explorer-online-event/ba-p/1709063 Register Now and save your spot.Save your spot at the Azure Data Explorer online event!
Join this event to new features, announcements, and collaborations for Azure Data Explorer. Learn how to harness the growing volume of telemetry data to drive business success while keeping costs at bay with the super cost-efficient Azure Data Explorer service. October 14th 09:00-12:00 (2 rounds: Pacific Time and British Time) The first 2.5 hours will be prerecorded sessions and the last 30 minutes will be 6 online sessions in different topics (full agenda) 2 Surface Duos will be given to the first one that will answer all the questions correct in each round (British Time and Pacific Time) Learn more about this event: https://techcommunity.microsoft.com/t5/azure-data-explorer/save-your-spot-at-the-azure-data-explorer-online-event/ba-p/1709063 Register Now and save your spot.Welcome to Azure Data Explorer (Kusto) Space
Welcome to the Azure Data Explorer (Kusto) space @ TechCommunity. Join us to share questions, thoughts or ideas about Kusto and receive answers from the diverse Azure Data Explorer community. Our community is here to assist you with any question or challenge such as creating a new Data Explorer cluster, database or table, ingesting data or performing a complex query. Learn more about Data Explorer (Kusto): Azure Data Explorer Documentation Course – Basics of KQL Query explorer Azure Portal User Voice End to End Lab Azure Data Explorer Blog Investigate your data with Azure Data Explorer (Kusto). Question, comment or request? Post it here. BR, Azure Data Explorer product team
